Application of Deep Learning Approaches in Mathematics Learning
DOI:
https://doi.org/10.70062/incoils.v5i1.415Keywords:
Deep Learning, Learning Mathematics, Mindful, Meaningful, Joyful.Abstract
Indonesia is experiencing a learning crisis that has occurred over the past five years. The results of the 2022 PISA test show that Indonesia has experienced a decline in the aspects of mathematics, reading, and science. The decline in education quality is influenced by students' low interest in learning. Meanwhile, the low interest in learning among students is a result of the increasingly widespread technological development. The deep learning approach has emerged as an alternative formulated by the Minister of Basic and Secondary Education for the need for more effective and quality learning. In this regard, this study aims to describe the application of a deep learning approach in mathematics learning. This study uses a literature review method that examines several articles. The results of this study indicate that mathematics learning with a deep learning approach requires careful preparation, starting from the planning, implementation, and assessment stages. The learning carried out still adheres to the principles of deep learning, namely mindful learning, meaningful learning, and joyful learning. Mathematics learning with a deep learning approach adopts the Bloom's Taxonomy and SOLO Taxonomy syntax with the aim of creating deep and meaningful learning.References
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